Triple

T14195437
Position Surface form Disambiguated ID Type / Status
Subject Lungi International Airport E351823 entity
Predicate locatedIn P40 FINISHED
Object Lungi
Lungi is a town in Sierra Leone best known for hosting the country’s main international airport, which serves the capital Freetown across the bay.
E1084870 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lungi | Statement: [Lungi International Airport, locatedIn, Lungi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lungi
Context triple: [Lungi International Airport, locatedIn, Lungi]
  • A. Longu
    Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
  • B. Lugana
    Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
  • C. Lungro
    Lungro is a town in southern Italy known as a principal center of the Italo-Albanian Catholic Church and its Arbëreshë (Albanian) cultural heritage.
  • D. Longare
    Longare is a municipality in the Veneto region of northern Italy, situated near Vicenza in a landscape shaped by the Bacchiglione River and surrounding hills.
  • E. Nguna
    Nguna is an Oceanic language of Vanuatu, spoken primarily on Nguna Island and nearby areas in the central part of the country.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lungi
Triple: [Lungi International Airport, locatedIn, Lungi]
Generated description
Lungi is a town in Sierra Leone best known for hosting the country’s main international airport, which serves the capital Freetown across the bay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lungi
Target entity description: Lungi is a town in Sierra Leone best known for hosting the country’s main international airport, which serves the capital Freetown across the bay.
  • A. Longu
    Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
  • B. Lugana
    Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
  • C. Lungro
    Lungro is a town in southern Italy known as a principal center of the Italo-Albanian Catholic Church and its Arbëreshë (Albanian) cultural heritage.
  • D. Longare
    Longare is a municipality in the Veneto region of northern Italy, situated near Vicenza in a landscape shaped by the Bacchiglione River and surrounding hills.
  • E. Nguna
    Nguna is an Oceanic language of Vanuatu, spoken primarily on Nguna Island and nearby areas in the central part of the country.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194b32d88190aa74eef576152db3 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1ab3f83881908113259c23fe1028 completed May 7, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fd1b87a0c48190a68367525ed9d2cb completed May 7, 2026, 11:08 p.m.
Created at: April 10, 2026, 1:04 a.m.